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2K followers
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Dong Chen shared thisSending love to friends impacted by Snap's reduction. Many of you are incredibly talented - I've seen it firsthand. If you're exploring what's next, my DMs are open. I'm also happy to refer folks to open roles at Airbnb: https://careers.airbnb.com Watching how different companies navigate the AI shift has been on my mind lately. Some treat it as a reason to cut. Others treat it as a multiplier - investing in their people to do more ambitious work. I've been inspired by leaders like CREAO's CTO who lead by example, building alongside their teams rather than replacing them. As an engineering manager, I've been leaning into this myself: using AI tools daily to move faster on features, diagnostics, and strategy, while staying focused on what matters most: the people and the craft. To everyone in transition: the industry needs your talent. You don't get to choose the hand you're dealt, but you absolutely get to decide where you go from here. Reach out.
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Dong Chen shared thisCome to work with Evan on cool ML projects!Dong Chen shared thisLooking for a thoughtful PM to join my team- owning ML powered lifecycle notifications that drive real dating outcomes! Know someone great? Comment or DM me
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Dong Chen shared thisGreat work Thomas Y.!Dong Chen shared thisI’d like to share what I have been working on recently. AI Photo Selector is globally launched to all users and I had a ton of insightful moments while working with Hyperconnect engineers. If you are interested in on device AI, concurrent image processing, tensorflow, vision, and coreML usages, please have a read! https://lnkd.in/gYrvYC-jHow On-Device AI Models Find Your Best Tinder Profile PhotosHow On-Device AI Models Find Your Best Tinder Profile Photos
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Dong Chen reposted thisDong Chen reposted thisBig day for the Tinder team! We’ve launched a new interactive flirting experience powered by OpenAI’s Realtime API—letting you test your game with an AI Persona in a playful challenge to win a date. We designed this as a lighthearted, judgment-free space where users can practice flirting and build confidence for the real thing. Introducing The Game Game—hilarious, fun, and refreshingly innovative. Now live on the Tinder iOS app in the U.S., with a hidden easter egg entry point. Can you find it on the home screen? Go test your game! Thank you to Fast Company for the coverage and for coming to test it out with us last week! https://lnkd.in/ge4Wqe8gTinder wants you to flirt with an AI bot so you don't flop with a humanTinder wants you to flirt with an AI bot so you don't flop with a human
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Dong Chen reposted thisDong Chen reposted thisAre you a Sr. Technical Recruiter with mobile experience open to working in our LA or PA office? If so, #SwipeRight and send me a message! This role requires in-office collaboration twice a week and is a 4 month contract. If interested, I'd love to chat further!Open Roles at Tinder | Sr. Technical Recruiter (Contract)Open Roles at Tinder | Sr. Technical Recruiter (Contract)
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Dong Chen reposted thisDong Chen reposted thisOur team is hiring many critical Staff and Senior roles on Generative AI and Recommendation systems. Come join us to innovate in AI, and help connect people in the world. (Please directly apply through the links). https://lnkd.in/g5Ei4daZ https://lnkd.in/gKthBE3u https://lnkd.in/gfqJJYqaOpen Roles at Tinder | Sr. Software Engineer, Generative AIOpen Roles at Tinder | Sr. Software Engineer, Generative AI
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Dong Chen reposted thisDong Chen reposted this**Open position alert** Heyo! I’ve got 2 mid-level data scientist roles open on my team (insert excited scream). If you or anyone you know is interested in understanding the world of online dating and leading the charge on personalizing the user experience, please apply! We’ve got a really close-knit team and fun data to play with :) —- https://lnkd.in/gvXM4ReW
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Dong Chen reposted thisDong Chen reposted thisReady to swipe right on your next career adventure? I'm looking for a Mid-Senior Android Engineer to join my team. If creating top-tier mobile experiences is your passion, then this could be the perfect opportunity for you. DM me or drop a comment if you, or someone you know, might be the perfect match! #hiring.
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Dong Chen liked thisDong Chen liked thisI'm in the middle of performance reviews right now for my nine direct reports. And every time, no matter how many I've done, the night before a challenging one I feel it in my chest. Not because I don't know what to say. I do. I've thought about it for weeks. I've written notes, rewritten them, talked it through with my partner (she's an engineering manager and one of the best people leaders I know). But knowing what to say and actually saying it to someone you care about are two very different things. I've had some version of the hard performance conversation with almost every designer on my team over the years. Not because I'm harsh, but because I have high standards — not around hours or output, but around care and quality. And when I see someone not meeting the bar I know they're capable of, I feel a responsibility to say something. The worst one I ever had, I got the timing wrong. A designer was going through something personal that I didn't fully understand yet, and I came in with feedback that was honest but landed like a punch. I could see it on their face. That one stayed with me. It taught me that the words can be right and the moment can still be wrong. So now I prepare differently. I think about where someone is, not just what I need to tell them. I lead with what's working (specifically, not generically) and I try to frame the growth area as something we're working on together, not something they're failing at. And I always leave room for them to push back or tell me I'm off base. It's still the hardest part of my job. Honestly, I'd rather do almost anything else. But I've also seen what happens when leaders avoid these conversations. Problems fester. Designers don't grow. And the work drifts toward something nobody's proud of. Honest feedback, delivered with care, is one of the most generous things you can give someone on your team. It says: I see you, I believe in you, and I care enough to tell you the truth.
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Dong Chen liked thisDong Chen liked thisI'm out here vibe coding in the city My dad's in the country building this greenhouse We are not the same (And I am immensely jealous)
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Dong Chen liked thisDong Chen liked thisWe’re hiring at Tinder 🔥 If you’re excited about building products that connect millions of people around the world, we’d love to talk. We’re growing our engineering team across Los Angeles, Palo Alto, and San Francisco with a hybrid schedule (3 days/week in-office). You’ll be working on high-impact systems at massive scale, alongside a team that cares deeply about craft, speed, and real-world impact. Whether you’re passionate about backend systems, mobile development, or building delightful user experiences — there’s a place here for you. Check out our open roles and what it’s like to work at Tinder: https://lnkd.in/eHb-wqXr
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Dong Chen liked thisDong Chen liked thisWe're hiring a Product Partnerships Lead at Airbnb! In this role you'll work alongside our Product Marketing and Engineering teams, turning a fast-moving roadmap into a proactive partner strategy. The data, API, and technology deals you close will be what makes it possible for Airbnb to keep doing what it's always done best: building products that help guests and hosts connect with the world in a more authentic, meaningful way. We're looking for someone with 10+ years in BD or strategic partnerships who has independently owned and closed complex, multi-stakeholder deals and who is as comfortable in a product strategy conversation as they are at the negotiating table. Interested or know someone who'd be great? Apply today! https://lnkd.in/grGgXP2i #airbnb #partnerships #product #business #development
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Dong Chen liked thisDong Chen liked thisExcited to be hiring a Backend Engineer to join my team and focus on optimizing performance across our product features! #hiring If you have experience improving backend performance at scale, we’d love to hear from you. Come make a difference at Airbnb! Apply here: https://lnkd.in/gChXRHAFSenior Software Engineer, App Foundation (Backend) - Careers at AirbnbSenior Software Engineer, App Foundation (Backend) - Careers at Airbnb
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Dong Chen liked thisDong Chen liked thisIt was a pleasure joining Tiffany Janzen at the NVIDIA GTC Studio to discuss the pace of innovation across the AI ecosystem and the growing importance of strong collaboration between infrastructure, model, and enterprise platform providers. At Oracle, we see a significant opportunity to help enterprises move from experimentation to production by bringing together high-performance AI infrastructure, data-centric AI capabilities, and enterprise applications at scale. As AI adoption accelerates, the ability to combine reliable compute, advanced models, and proximity to enterprise data will be increasingly important for customers seeking measurable business outcomes. What is becoming clear is that the next phase of enterprise AI will be defined not only by model progress, but by how effectively the full stack comes together to support production workloads, industry-specific solutions, and more intelligent business processes. Thank you to NVIDIA for the conversation and for the continued partnership. #NVIDIAGTC #Oracle #OCI #AI #EnterpriseAI #CloudInfrastructure https://lnkd.in/ghDZ38rTNVIDIA GTC Studio | With Insights from Oracle EP81216 | GTC San Jose 2026 | NVIDIA On-DemandNVIDIA GTC Studio | With Insights from Oracle EP81216 | GTC San Jose 2026 | NVIDIA On-Demand
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Dong Chen liked thisDong Chen liked thisWhen Claude Code's source code leaked yesterday, Anthropic's engineering lead Boris Cherny posted this! Two sentences. No individual blamed. No defensive posture. Just: "It's the process, the culture, or the infra" and "there was a manual deploy step that should have been better automated." This is what blameless accountability looks like in practice. The person who made the error already knows they made it. Publicly shielding them while taking ownership of the systemic gap is the difference between a manager and a leader. It builds the kind of psychological safety where people report problems early instead of hiding them until they become incidents. 𝗧𝗵𝗲 𝗿𝗲𝗮𝗹 𝗹𝗲𝘀𝘀𝗼𝗻: Your team's relationship with failure determines your team's relationship with risk. If mistakes get people named, people stop taking risks. If mistakes get systems fixed, people start reporting problems early. The culture you build in your worst moments is the culture you actually have.
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Dong Chen liked thisDong Chen liked thisI’m excited to announce that I'm stepping into a new role as SVP, Product at Tinder ! Working on products that help millions of people find real connection has been the most rewarding chapter of my career. Building in this space reminds me every day that great products can genuinely change people’s lives. Proud to work alongside a team that moves with urgency, thinks boldly, and builds with real intention. Thank you to everyone who’s been part of the journey so far. Let's go 🚀 #lifeattinder
Experience & Education
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Airbnb
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Patents
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Messaging and gaming applications rewards
Issued US11593826B1
Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and a method for providing a platform that facilitates communication between a messaging application and a web-based gaming application; receiving, via the platform, a request from the web-based gaming application to execute a reward activity; determining, by the messaging application, that the request satisfies a reward activity criterion; generating the reward activity…
Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and a method for providing a platform that facilitates communication between a messaging application and a web-based gaming application; receiving, via the platform, a request from the web-based gaming application to execute a reward activity; determining, by the messaging application, that the request satisfies a reward activity criterion; generating the reward activity on the messaging application in response to receiving the request; and communicating, via the platform, a status of the reward activity from the messaging application to the web-based gaming application.
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Aymeric C.
Mercari, Inc. • 551 followers
I wrote an article on how we translate user-generated content at scale at Mercari. It summarizes two years of work with various models, LLMs but not only, and how cost evolved, reducing it 100x over the period. I also go over non-AI features and user experience. https://lnkd.in/gbpQAQmX
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D Ryan Wu, Ph.D.
WoolooAI.com • 988 followers
My Startup Was Working… Until It Wasn’t We had paying customers. We had local press. We were gaining traction. It was 2016. Then UberEats, DoorDash, and Postmates entered Portland with billions in funding. At the same time, Intel—where I worked full-time—announced massive layoffs. Overnight, my 40-hour week almost doubled. Midnight fab shifts, weekend work, endless overtime. My startup didn’t die because the idea was bad. It died because I didn’t have the financial runway to compete. Here’s what that painful chapter taught me: 1. Passion + grit aren’t enough. Startups need time, capital, and breathing room to survive. 2. Corporate is just built for stability. It can’t nurture the creative chaos that startups need. 3. Adaptation beats stubbornness. Sometimes the smartest move is to regroup, save, and come back stronger. So I made a choice: doubled down on my W-2 career, moved to Seattle, and joined Amazon to maximize income. Every dollar earned—and every loan I could pull—went straight into real estate. One property a year turned into two… then into double digits in a single year. Deals kept coming, I kept closing, and I built a local team to keep momentum alive. By the end of 2022, my portfolio was generating more passive income than my paycheck. That’s when WoolooAI.com was born—not as a flashy startup, but as a necessary system to simplify and automate the chaos: acquisitions, CRM, portfolio management, project management, all streamlined. The truth is: - Without the grind of my early startup days, I wouldn’t have landed the Amazon role. - Without Intel’s layoff threats, I wouldn’t have learned the importance of building a financial runway first. - And without the expertise I developed at Amazon, I wouldn’t have gained the skills that helped me build WOOLOO AI. The irony isn’t lost: the same challenges that once crushed me ended up shaping the freedom I enjoy today. 💡 Takeaway: Sometimes what feels like an ending is really just the foundation for the next chapter. 👉 If you want the full story, I wrote it here: https://lnkd.in/geEVye36 💬 I’d love to hear your story too—what twists or setbacks ended up shaping where you are today? #Entrepreneurship #Startups #RealEstateInvesting #AmazonAlumni #FinancialFreedom #LessonsLearned #HumbleGrowth
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Gokul Rajaram
52K followers
Waymo for Delivery Turns out the Waymo of delivery is --- DoorDash! DoorDash's Dot delivery bots are a BIG deal. They have an autonomy stack with sensors, hardware, and software similar to that of robotaxis, no extra fees to merchants or consumers (vertical integration is key for this IMO, standalone robot companies without demand cannot survive), are capable of going down busy streets. get better every single day with reinforcement learning from millions of deliveries, and have a much better form factor (not to mention much lower cost) than Waymo for delivery. Transporting humans is an expensive proposition and the robots should be built with this in mind; transporting your food and groceries should be designed from scratch with very different design principles. (eg: how does the vehicle behave in a crash? in the case of Waymo, it must protect its passengers. For autonomous delivery bots, they should sacrifice their food :)) This could very well be the Waymo moment for delivery. Congrats Stanley Tang and team! Can't wait to try it out soon 🙏 Link: https://lnkd.in/gECNPEQ9
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Adalberto Pinto
26K followers
Most startups die from moving too fast. But plenty die from moving too slow. So how do you actually balance speed vs. technical debt? I sat down with Shuzhi Huang, former Engineering Leader at Google, someone who's seen this play out at massive scale, and got a remarkably honest answer. The insight that hit hardest: technical debt isn't the enemy. Unacknowledged technical debt is. If you're a founder scaling your engineering team right now, or a hiring manager trying to decide when to prioritize velocity over quality — this one's for you. What's your take? The full episode is live. Link in the comments 👇 #Engineering #TechnicalDebt #StartupFounders #EngineeringLeadership #Hiring #BotifySessions #BotifyTech #TechLeadership #Founders
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Maysam Sadeghi
Netflix • 3K followers
The Claude ecosystem is exploding faster than I expected. My newest favorite plugins: - Get Shit Done (orchestration layer that plans and builds apps phase by phase) - Ralph Wiggum Plugin ( iterative, self-referential AI development loops) - n8n-MCP (direct Claude integration with 1,000+ automation nodes) What's interesting is how quickly we've moved from simple AI coding assistants to full orchestration platforms. The shift feels similar to what happened with CI/CD tools a few years ago. First you had basic scripts, then comprehensive pipelines, now full DevOps orchestration. We're seeing the same evolution with AI coding tools, just compressed into months instead of years. #AI #Claude #SoftwareDevelopment #AIAgents #DevTools #Automation
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Tan Wang
Pinterest • 827 followers
Over the past year, my team and I built Pinterest's Model Context Protocol (MCP) ecosystem from the ground up: a central registry, a growing fleet of domain-specific MCP servers, and production integrations across our IDEs, internal chat surfaces, and AI agents. MCP is an open standard that gives large language models a unified way to talk to tools and data sources. At Pinterest, we used it as the substrate for AI agents that can safely automate real engineering tasks, from querying Presto data on demand to diagnosing Spark job failures and surfacing institutional knowledge. A few things I'm particularly proud of: * We designed for security from day one: two-layer auth (end-user JWTs + mesh identities), business-group-based access gating, and mandatory human-in-the-loop for sensitive actions. * We made it easy for any team to ship a new MCP server by creating a unified deployment pipeline that handles all the infrastructure, so domain experts just write business logic. * The ecosystem has scaled to 66,000+ invocations per month across 844 monthly active users, saving an estimated 7,000 engineering hours per month. This was a cross-functional effort. Thank you to everyone on the Agent Foundations, Security Engineering, and Traffic Engineering teams who made this possible, and to our engineering sponsors for their support and guidance. Full write-up on the Pinterest Engineering Blog: https://lnkd.in/e-mH26Bw
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Sen Li
Roblox • 888 followers
I am incredibly proud to share my latest engineering blog on how our team at Roblox supported the system that broke the world record for most concurrent players. Roblox broke the record of supporting over 45M concurrent users in 2025. To handle this unprecedented traffic, we pushed our caching layer to a staggering 1.38 Billion QPS, completely bypassing standard Redis limits to keep the game world seamless and immersive. Check out the link below to see exactly how we architected for world-record scale! 👇 🔗 Read the full deep-dive here: https://lnkd.in/gTseqUuD
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Neil Tewari
Conversion • 18K followers
Honored to have been invited to fal and Henry Shi’s Lean AI Leaderboard Celebration Dinner, celebrating some of the leanest and fastest-growing startups in SF. Here are some of the most overwhelming trends that were discussed among high-growth companies working with small, high-output teams: 1/ Headcount is no longer used as a success metric. As Henry Ward said, “Hiring means we failed to execute and need help.” Headcount is not a flex measure anymore. People aren’t asking “How big is your team?” anymore. They’re asking “How many customers do you have?” 2/ They're finding ways to leverage AI across every function. Every engineer uses Cursor or Windsurf. Every GTM leader is in Clay. The most efficient teams are built AI-first across the board. Thank you to Henry Shi, Burkay Gur, and Gorkem Yurtseven for putting this all together!
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Greg Isaacs
Criteria Corp • 7K followers
I took my second Waymo across Los Angeles last night, and the experience was largely excellent. From the smooth pickup to navigating the freeway (which is now supported here in LA!), the technology is undeniably impressive. However, the "last mile" wasn't quite perfect. I was dropped off on the left side of a two lane, one way street, directly in traffic rather than on the shoulder. Also, my destination was on the right. As I've written previously (https://lnkd.in/gHw7drrc), there is great promise in using technologies like AI in countless ways, from autonomous driving to talent measurement. However, my recent Waymo experience highlights two critical lessons: 1. Humans Must Own the Outcome: Whether you are a passenger in an autonomous vehicle or managing talent, you cannot delegate accountability to the machine. Technology is a powerful tool, but humans must own the final result. In hiring, as in transport, we must remain in the driver's seat to ensure the "drop off" (i.e. the final decision) is the right one. 2. The Feedback Loop is Non Negotiable: Without human feedback to these systems, technology will never improve. I made sure to provide feedback on my ride, and we must do the same in our talent systems. If we don’t provide constant, iterative feedback, we lose the opportunity to refine them into something better. Progress happens when human intuition meets technological scale. We provide the feedback; the tech provides the lift.
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Tyler Folkman
JobNimbus • 19K followers
DeepSeek V3.1 just dropped. No press release. No hype cycle. Just showed up on Hugging Face. But look at these numbers: 71.6% on Aider coding benchmark. Better than Claude Opus at 68x lower cost. 66% on SWE-Bench. Competitive with frontier models. 128K context + hybrid thinking. One model, two modes. Here's what matters for production: Your entire codebase fits in one conversation. No more chopping context into fragments that break everything. Two modes, one model. Fast answers for simple stuff. Deep reasoning when you need it. Open source. 685B parameters. No vendor lock-in. Most "AI agents" are just chatbots with function calling duct-taped on. This is different. But here's my worry: DeepSeek has no branded agent framework like Claude Code. The open-source ecosystem will probably mess this up with bad prompts and cheap deployments. You'll see providers serving with lowered precision, pruned experts, poor sampling. Your experience will vary wildly based on where you deploy. Your reality check Week 1: Deploy locally Week 2: Build one autonomous task Document analysis. Code review. Data pipeline. Whatever. But test multiple providers. The benchmarks mean nothing if your deployment is garbage. This is probably as far as they can push V3. But for coding agents? This works. What are you building first?
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Daniel Carpenter
Honey Nudger • 879 followers
In a world of Agentic AI, the talent formula is clear 👇 🧮 Asking the right questions > Creating the answer The two most dangerous archetypes in the room? 1️⃣ Great PM's that moonlight as engineers 2️⃣ Great Engineers that don't know they are actually PM's #AI #AgenticAI #FutureOfWork #ProductManagement #Leadership #TechTalent
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Gaurav Anand
G-P/Globalization Partners • 3K followers
Huge thanks to Zhe Jia, Shuai Wang, Aditi Bamba, and Martin Wang from DoorDash for publishing this incredibly practical breakdown of their RAG implementation for Dasher support. This post saved me countless hours of trial and error. The two-tier guardrail approach is what really clicked for me: * Run a cheap semantic similarity check first (sliding window comparison between response and KB articles) * Only if that fails, escalate to the full LLM evaluator Result: 90% fewer hallucinations, 99% fewer compliance issues, without killing your latency budget When you're actually shipping RAG to users, this kind of practical filtering makes all the difference. Everyone talks about prompt engineering, but nobody talks enough about how to catch bad outputs before users see them. Their broader setup—quality monitoring across 5 dimensions, regression test suites, the whole LLM Judge framework—gives you a real blueprint beyond the basic tutorials. You can't fix what you're not measuring. The article is https://lnkd.in/dbC9BG7a
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Sarah Scharf
Vanta • 3K followers
✨ A very fun start to Frameworks for Growth - a new video series from Vanta. "Frameworks" are core to who Vanta is: -We support 40 different compliance frameworks within the product -One of our principles is "Decide with frameworks," and a common question in meetings at Vanta is, "what framework did you use for deciding [x]?" -And now, we're hoping to provide founders and early operators with some frameworks *they* can use for scaling their businesses in the age of AI. Thanks to Garry Tan and Christina Cacioppo for this awesome first conversation. You should watch the whole thing, but tldw - one framework for growth: learn an industry deeply and vibe code towards something people want.
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Andriyan Bobryk
CodeGeeks Solutions • 3K followers
DeepSeek’s rise has been wild to watch. From hedge fund roots to topping app store charts, all while running models cheaper and faster than the big names? That’s no small feat. Their focus on reasoning models is especially interesting and definitely shaking things up in the AI space. #AI #DeepLearning #Innovation #TechTrends #MachineLearning #Startups https://lnkd.in/dDfmM99D
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Matthias Zenger
Pinterest • 4K followers
Pinterest just announced its Q4 and full-year 2025 results. We delivered a record $4.2B in full-year revenue (+16% YoY) and $1.3B in Q4 (+14% YoY). For the 10th consecutive quarter, users were at all-time highs with 619M global MAUs (+12% YoY). Gen Z remains more than 50% of our global audience, reinforcing Pinterest as a place where the next generation comes to get inspired, plan, and shop. We're doubling down on what makes Pinterest different: AI-powered visual-first discovery and shopping. With over 80B searches every month, our focus is on helping people find what they're looking for through better personalization — and turning that intent into action for advertisers.
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